Chapter 31 Sensitivity and spin-up times of cohesive sediment transport models used to simulate bathymetric change

Schoellhamer, David H.; Ganju, Neil K.; Mineart, Phillip R.; Lionberger, Megan A.

doi:10.1016/s1568-2692(08)80033-2

Cited by 7 publications

(1 citation statement)

References 23 publications

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“…It may be that a spin-up period of two months was not sufficient to remove the initial bathymetry irregularities and thus for the model to reach a quasi-equilibrium situation between morphodynamics and hydrodynamics. The mismatch between the initial bathymetry configuration and the forcing conditions has been identified by many authors as one of the main source of uncertainty in morphological modelling (Schoellhamer et al, 2008;Amoudry and Souza, 2011).…”

Section: Mean Maxmentioning

confidence: 99%

Sediment dynamics and budget in a microtidal lagoon — A numerical investigation

Ferrarin

Umgiesser

Roland³

et al. 2016

Marine Geology

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Section: Mean Maxmentioning

confidence: 99%

Sediment dynamics and budget in a microtidal lagoon — A numerical investigation

Ferrarin

Umgiesser

Roland³

et al. 2016

Marine Geology

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Numerical modeling of microplastic interaction with fine sediment under estuarine conditions

et al. 2023

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Hindcasting of decadal‐timescale estuarine bathymetric change with a tidal‐timescale model

Ganju¹,

Schoellhamer²,

Jaffe³

2009

J. Geophys. Res.

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[1] Hindcasting decadal-timescale bathymetric change in estuaries is prone to error due to limited data for initial conditions, boundary forcing, and calibration; computational limitations further hinder efforts. We developed and calibrated a tidal-timescale model to bathymetric change in Suisun Bay, California, over the 1867-1887 period. A general, multiple-timescale calibration ensured robustness over all timescales; two input reduction methods, the morphological hydrograph and the morphological acceleration factor, were applied at the decadal timescale. The model was calibrated to net bathymetric change in the entire basin; average error for bathymetric change over individual depth ranges was 37%. On a model cell-by-cell basis, performance for spatial amplitude correlation was poor over the majority of the domain, though spatial phase correlation was better, with 61% of the domain correctly indicated as erosional or depositional. Poor agreement was likely caused by the specification of initial bed composition, which was unknown during the 1867-1887 period. Cross-sectional bathymetric change between channels and flats, driven primarily by wind wave resuspension, was modeled with higher skill than longitudinal change, which is driven in part by gravitational circulation. The accelerated response of depth may have prevented gravitational circulation from being represented properly. As performance criteria became more stringent in a spatial sense, the error of the model increased. While these methods are useful for estimating basin-scale sedimentation changes, they may not be suitable for predicting specific locations of erosion or deposition. They do, however, provide a foundation for realistic estuarine geomorphic modeling applications.

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Chapter 31 Sensitivity and spin-up times of cohesive sediment transport models used to simulate bathymetric change

Cited by 7 publications

References 23 publications

Sediment dynamics and budget in a microtidal lagoon — A numerical investigation

Sediment dynamics and budget in a microtidal lagoon — A numerical investigation

Numerical modeling of microplastic interaction with fine sediment under estuarine conditions

Hindcasting of decadal‐timescale estuarine bathymetric change with a tidal‐timescale model

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